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Independent photovoltaic dragging system capacity configuration method based on multi-target optimization algorithm

A technology of multi-objective optimization and dragging system, applied in the field of improved NSGA-II multi-objective optimization algorithm and photovoltaic independent system power balance, it can solve problems such as inability to meet, not considering the impact, etc., to meet the demand for electricity and reduce the environment. Burden, Avoiding Out-of-Range, and the Effects of Premature Convergence

Active Publication Date: 2017-03-08
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing micro-grid capacity optimization configuration method that does not consider the impact of loads with different characteristics on capacity configuration, and cannot meet the user's power consumption needs while reducing the environmental burden, the present invention provides a method that meets the user's power consumption needs while reducing the environmental burden. Capacity allocation method of independent photovoltaic drive system based on multi-objective optimization algorithm based on environmental burden

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  • Independent photovoltaic dragging system capacity configuration method based on multi-target optimization algorithm
  • Independent photovoltaic dragging system capacity configuration method based on multi-target optimization algorithm
  • Independent photovoltaic dragging system capacity configuration method based on multi-target optimization algorithm

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Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] refer to Figure 1 ~ Figure 3 , a method for configuring the capacity of an independent photovoltaic drive system based on a multi-objective optimization algorithm, the method comprising the following steps:

[0056] The first step is to determine the topology of the independent photovoltaic drive system, including photovoltaic power supply, diesel generator, battery energy storage system, bi-directional power flow inverter and load system dominated by electric motors. The energy storage system is used as an auxiliary power source, and the diesel generator is used as a backup power source.

[0057] The second step is to set the energy control strategy of the independent photovoltaic drive system:

[0058] When the diesel generator is used as the main power source of the master-slave control strategy, its output power must be greater than the minimum output lev...

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Abstract

The invention provides an independent photovoltaic dragging system capacity configuration method based on a multi-target optimization algorithm. The method comprises steps of: step 1, determining a topology structure of an independent photovoltaic dragging system; step 2, setting an energy control strategy of the independent photovoltaic dragging system; step 3, establishing an optimal configuration module; step 4, inputting a basic parameter of the independent photovoltaic dragging system; and step 5, according to the established optimal configuration module, using an improved NSGA-II multi-target optimization algorithm to solve an optimal solution set, analyzing the optimal solution set and carrying out weight allocation on the target function of each solution so as to calculate the finial configuration result. According to the invention, when electricity utilization requirements of users are met, environment load is reduced.

Description

technical field [0001] The invention belongs to a capacity configuration method of a photovoltaic system, and belongs to the technical field of independent photovoltaic power generation, in particular, the independent photovoltaic power generation system is applied to a special scene with a motor as the main load, and each DG source is optimally configured, and specifically relates to an improved NSGA -II multi-objective optimization algorithm and power balance of photovoltaic independent system. Background technique [0002] The power generation of distributed energy sources such as wind and solar is fluctuating and intermittent due to the influence of the environment, and it will have a greater impact on the stability of the grid when connected to the grid. As a solution to this problem, microgrids have been continuously and deeply studied by various countries. The microgrid has two working modes: grid-connected and off-grid. When the large grid fails, it can automaticall...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46H02J3/32
CPCH02J3/32H02J3/38H02J3/383H02J3/46Y02E10/56Y02E40/10Y02E70/30
Inventor 潘国兵毛涛涛欧阳静陈金鑫吴雄增普帅帅卢从成叶颖
Owner ZHEJIANG UNIV OF TECH
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